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提出基于产品功能和物理拓扑结构的进程模型,将产品自顶向下设计进程分解为模块任务、零件任务、设计参数及其相互关联等基本组成元素.根据自顶向下的设计进程特点,提出产品集成协同设计软件系统架构,设计相应模块任务代理、零件任务代理以及基于敏度分析的代理设计方法,采用Java及Web技术实现了上述系统,以变速箱为设计实例说明系统的应用过程和效果. 相似文献
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基于本体的多设计团队协同产品设计知识建模 总被引:1,自引:0,他引:1
为解决多设计团队协同产品设计过程中设计知识共享和重用困难等问题,提出了一种基于本体的多设计团队协同产品设计知识建模方法。分析了多设计团队协同产品设计的特点,建立了多设计团队协同产品设计工作模型,提出了多设计团队协同产品设计知识本体构建框架。以本体建模理论为依据,以机械产品协同设计为研究背景,利用分类和描述的思想方法对基于本体的多设计团队协同产品设计知识建模过程进行了研究,包括设计知识的分类与概念抽取、设计知识的OWL描述以及属性定义。在此基础上,构建了机械产品协同设计知识本体模型。最后通过应用实例验证了该方法的可行性和有效性。 相似文献
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为了减少在产品设计过程中因缺少时制造知识的关注而导致的设计失误,研究了制造知识对产品设计过程的支持.首先分析了产品的设计过程及制造知识的内容.根据产品设计各个阶段的任务,分析了支持设计决策的制造知识需求.最后基于IDEF0的图形化过程建模方法,对产品设计过程及制造知识的支持机制建立模型,为支持设计决策提供了途径和方法. 相似文献
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针对现有产品设计中信息不全和无法满足并行设计渐进的动态需求问题,以传统逻辑论和信息论中的潜模型理论为基础,结合产品设计进程中变量、目标与约束等信息的扩张过程,提出了产品设计广义潜模型与狭义潜模型理论.采用复杂函数的多阶段分解法和置信度建序法,实现了传统函数的潜模型改造,将传统的面向单点的产品信息模型扩展为面向进程的过程模型,并提出了基于敏度分析的设计导向机制与潜模型的有效推理运行机制,为该理论的实际应用奠定了基础.最后,以挖掘机设计目标为例,进行了函数改造说明. 相似文献
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复杂机电产品是拥有整体功能的庞大复杂系统,涵盖了多个技术领域,其设计过程涉及机、电、液等多学科、多部件、多源、多过程的耦合。作为产品设计的核心部分,复杂机电产品设计过程中的知识资源涉及多设计目标关联、多设计参数、多领域等,导致传统的知识管理体系与设计方法不能有效获取产品设计知识及实现知识重用。文中针对复杂产品设计过程,综合分析研究了设计知识资源跨学科的协同设计,提出基于元胞自动机模型的复杂产品设计过程的知识资源自组织聚类方法。运用该方法对水轮机设计过程中存在的设计知识进行聚类分析,结果表明其可以有效地将复杂产品设计知识资源依据各自领域进行合理分类,这对复杂产品的研究提供了帮助。 相似文献
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产品设计知识库建立方法研究 总被引:29,自引:1,他引:29
为有效地管理大规模客户化产品协同设计过程中使用的各种设计知识、方法和案例,需要构建产品设计知识库。设计知识的内容包括新产品和客户化产品设计知识、设计原理和标准、设计实例、配置、变型设计方法等。采用面向对象建模技术和方法构建知识表达模型,并将对象模型映射到关系数据库进行存储,按照数据库的组织策略来组织知识库。构建基于J2EE平台的知识库引擎,采用实例推理和规则推理相结合的方法,实现知识的智能检索和问题求解,从而有效地支持产品敏捷定制设计的快速实现。 相似文献
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实现功能到结构映射的知识检索与推理是基于知识的计算机辅助产品设计的关键。以MFBS框架下产品设计知识系统为基础,充分考虑设计知识间的语义关系,提出基于多属性特性检索与推理的产品MFBS本体映射方法。建立了MFBS框架下产品设计知识系统,通过单输出特性的检索实现功能到模块的映射,通过多输出特性的映射推理或组合多输出特性的映射推理实现功能到行为的映射,通过多输出特性的检索实现行为到结构映射。基于Jena编程实现了基于知识的计算机辅助产品设计中的MFBS本体映射。基于知识的多绳金刚石串珠绳锯产品设计实例,验证了所提方法的可行性。 相似文献
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飞航导弹方案设计系统集成平台的研究与实现 总被引:1,自引:1,他引:0
针对飞航导弹方案设计复杂性、可靠性的需求,本文提出了以专家系统为基础,集成多学科优化、图形交互以及动力学分析的方案设计集成平台。在知识推理中,以传统逻辑推理为基础引入了图形交互推理和外接功能算子功能,提高了系统处理复杂问题的能力。鉴于知识的不完善和推理的限制性,推理结果不一定能够真正满足需求。本系统一改传统的仅仅依靠专家系统推理的单一方案设计模式,利用多学科协同优化和系统评价技术,将知识推理和优化技术有机地结合起来,结合评价体系的利用,为设计结果的可靠性和优良性提供了保证。 相似文献
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T. A. Chiang A. J. C. Trappey C. C. Ku 《The International Journal of Advanced Manufacturing Technology》2006,31(5-6):421-433
Traditional computer-aided design (CAD) and product lifecycle management (PLM) tools have their limitations in supporting quick-to-market, mass-customized product development environments. The present paper proposes a general integrated framework of design knowledge representation and develops a knowledge-based intelligent system (KBIS) to facilitate dynamic design reasoning. Owing to the increasing complexity of product design, the traditional design (knowledge) rules can no longer help facilitate complex product development, which requires flexible design knowledge adoption and collaborators’ interaction during design inference processes. Therefore, this research enhances the abilities of smart collaborative design reasoning. A conceptual architecture for the KBIS is presented to enable a collaborative design community to reason feasible design parameters and to integrate all sub-system designs of a product. Finally, a case study of designing an air compressor and its sub-system (V-type belt) is presented to demonstrate the unique features of the KBIS. 相似文献
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虚拟企业环境下协同产品设计过程协调与监控技术 总被引:1,自引:0,他引:1
提出了一个虚拟企业环境下协同产品设计过程管理系统的总体框架,并针对目前虚拟企业环境下协同设计中处理突发事件和意外能力不足、无法有效地进行设计过程实时监控和协调的问题,提出了整体规划与局部决策相结合的设计过程融合与控制机制,重点探讨了采用JSP/Servlet/XML技术实现工作流程变更通知、设计任务状态的监控与提醒,以及设计项目进度实时监控的方法与策略,为Internet环境下协同设计过程的动态规划与管理提供了有效的途径。 相似文献
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0 INTRODUCTIONDstributed Artificial Intelligence(DAI ) is one ofthe imPOrtant branches of artificial intelligence. In thedomain of artificial intelligence, agent is used torepresent the object with some intelligence andautonomous decision-making function so as todistinguish it from common object.The agent isusually called" Autonomous Object" .A distributedartificial intelligence consists of many agents. Typicalstructure of an 8gent includes the partial knowledgebase, inference and dec… 相似文献
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The current research of the decomposition methods of complex optimization model is mostly based on the principle of disciplines, problems or components. However, numerous coupling variables will appear among the sub-models decomposed, thereby make the efficiency of decomposed optimization low and the effect poor. Though some collaborative optimization methods are proposed to process the coupling variables, there lacks the original strategy planning to reduce the coupling degree among the decomposed sub-models when we start decomposing a complex optimization model. Therefore, this paper proposes a decomposition method based on the global sensitivity information. In this method, the complex optimization model is decomposed based on the principle of minimizing the sensitivity sum between the design functions and design variables among different sub-models. The design functions and design variables, which are sensitive to each other, will be assigned to the same sub-models as much as possible to reduce the impacts to other sub-models caused by the changing of coupling variables in one sub-model. Two different collaborative optimization models of a gear reducer are built up separately in the multidisciplinary design optimization software iSIGHT, the optimized results turned out that the decomposition method proposed in this paper has less analysis times and increases the computational efficiency by 29.6%. This new decomposition method is also successfully applied in the complex optimization problem of hydraulic excavator working devices, which shows the proposed research can reduce the mutual coupling degree between sub-models. This research proposes a decomposition method based on the global sensitivity information, which makes the linkages least among sub-models after decomposition, and provides reference for decomposing complex optimization models and has practical engineering significance. 相似文献
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The case-based reasoning(CBR) and rule-based reasoning(RBR) fusion systems include a diverse range of fusion methods and their tasks are characterized by interleaving combination of the reasoning procedures. Existing approaches cannot clarify the complex relationships between data from the knowledge sources nor uniformly represent the heterogeneous case and rule knowledge in one fusion space. As a result, existing approaches fail to solve system fragility due to knowledge uncertainty and reasoning unreliability. For the purpose of addressing the difficulties, a novel algorithm for CBR-RBR fusion with robust thresholds(CRFRT) is proposed. Heterogeneous case and rule knowledge are uniformly represented in one defined fusion unitary space. The robust thresholds have been achieved to distinguish the complex relationships between meta-knowledge in the fusion space and to enhance system capacity of knowledge identification. Furthermore, fusion reasoning strategies are constructed for CRFRT and its procedure based on which robust solution of the fusion reasoning problem is obtained. Finally, CRFRT is validated by benchmark problems in machine learning. Compared with other CBR and RBR approaches, the reasoning efficiency and accuracy are increased by 5% and 2.2% respectively. The variations of system accuracy are decreased by 2% to 3.8%. The above results show that the CRFRT algorithm boosts the system’s effectiveness and robustness. The proposed CRFRT can solve the fragility of complex intelligence decision system and give quality performance for fault diagnosis. 相似文献
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机械设计作为一门复杂而具有创造性的学科,其知识具有复杂性,模糊性和不确定性,将特定的知识固定于特定的设计阶段,不仅造成知识库的冗余,同时也是不科学的,采用人工神经网络与专家系统结合的方式,实现了机械设计知识库设计知识的模糊分类,对系统的功能,结构模式,有关知识获取,网络构成及推理过程等关键问题进行了分析设计,并论证了集成系统的优势。 相似文献